3 of 3 Retrieval-Augmented Generation Jobs in Chester

learning or Generative AI to be a genuine peer to your architects and engineers. You should be able to explain, without notes, how a RAG architecture fails in production and what you would do about it. • Team leadership. Experience leading and coaching consultants, engineers or architects within your programme ...

Designing APIs, services and integrations to connect AI capabilities with wider enterprise systems. Building agentic AI applications, including multi-agent workflows and orchestration. Developing RAG solutions using vector search, enterprise data and retrieval techniques. Writing clean, maintainable and well-tested production code. Working with CI/CD pipelines … building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise systems. Strong understanding of DevOps, CI/CD, source control ...

date with the rapidly evolving technology landscape.Responsibilities:Develop and integrate AI-powered applications using modern Microsoft and Azure technologies Build and improve RAG-based solutions, intelligent search and knowledge servicesExplore and develop AI agents capable of completing tasks and automating business processesCreate prototypes and proof of concepts to assess … machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel, RAG or vector databasesUnderstanding of AI agents, LLMs and modern AI development approachesStrong software engineering fundamentals, including source control, testing and CI/CDGenuine interest ...